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"Having other priorities" uses different words to say exactly the same thing. I'm guessing you did not look at pnpm. It works on all major operating systems; deduplication works everywhere too, which shows that it can be solved if needed. As far as I know, it has been developed by one guy in Ukraine.



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Are there package name and version disclosure considerations when sharing packages between envs with hardlinks and does that matter for this application?

Practically, caching ~/.pip/cache should save resources; From "What to do about GPU packages on PyPI?" https://news.ycombinator.com/item?id=27228963 :

> "[Discussions on Python.org] [Packaging] Draft PEP: PyPI cost solutions: CI, mirrors, containers, and caching to scale" [...]

> How to persist ~/.cache/pip between builds with e.g. Docker in order to minimize unnecessary GPU package re-downloads:

  RUN --mount=type=cache,target=/root/.cache/pip

  RUN --mount=type=cache,target=/home/appuser/.cache/pip




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